MétaCan
Menu
Back to cohort

I Thought We Could Be Friends, but …

2006· article· en· W2032948400 on OpenAlexaff
Jacquie D. Vorauer, Yumiko Sakamoto

Bibliographic record

VenuePsychological Science · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFriendshipPsychologyWhite (mutation)DistancingSocial psychologyDevelopmental psychologyCoronavirus disease 2019 (COVID-19)

Abstract

fetched live from OpenAlex

This study examined the precursors and consequences of systematic miscommunications regarding relationship interest during intergroup interaction. Pairs of previously unacquainted same-sex students (White-White, White-Chinese, or Chinese-Chinese) engaged in a relatively intimate controlled interaction. White participants who had had little prior contact with Chinese persons were more apt to exhibit a signal-amplification bias (i.e., to perceive that their overtures had conveyed more interest than was actually the case) in intergroup as compared with intragroup exchanges. In contrast, White participants with high levels of prior contact with Chinese persons and Chinese participants did not show enhanced signal amplification in intergroup relative to intragroup exchanges. These results support our hypothesis that lack of intergroup contact experience sets the stage for miscommunications regarding friendship interest. White participants' tendency to feel that they had initially communicated more interest in being friends than their Chinese partner mediated a downward shift in their actual friendship interest over time, suggesting that signal amplification triggers defensive distancing and ultimately lowers the likelihood of cross-group friendship formation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.004
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.424
Teacher spread0.358 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations68
Published2006
Admission routes1
Has abstractyes

Explore more

Same venuePsychological ScienceSame topicSocial and Intergroup PsychologyFrench-language works237,207